<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.966294</identifier><creators><creator><creatorName>Maahn, Maximilian</creatorName><givenName>Maximilian</givenName><familyName>Maahn</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-2580-9100</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/03s7gtk40">Leipzig Institute for Meteorology, University of Leipzig</affiliation></creator><creator><creatorName>Maherndl, Nina</creatorName><givenName>Nina</givenName><familyName>Maherndl</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-1517-1534</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/03s7gtk40">Leipzig Institute for Meteorology, University of Leipzig</affiliation></creator></creators><titles><title>Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund on 2023-01-11</title></titles><publisher>PANGAEA</publisher><publicationYear>2024</publicationYear><subjects><subject subjectScheme="Parameter">DATE/TIME</subject><subject subjectScheme="Parameter">Identification</subject><subject subjectScheme="Parameter">Video</subject><subject subjectScheme="Parameter">Image, sky</subject><subject subjectScheme="Parameter">Text file</subject><subject subjectScheme="Method">Video In Situ Snowfall Sensor, University of Cologne</subject><subject subjectScheme="Campaign">AWIPEV_based</subject><subject subjectScheme="Basis">AWIPEV</subject><subject subjectScheme="Project">Arctic Amplification (AC3)</subject></subjects><dates><date dateType="Collected">2023-01-11T00:00:00/2023-01-11T22:50:00</date></dates><resourceType resourceTypeGeneral="Dataset">Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.1594/PANGAEA.965766</relatedIdentifier><relatedIdentifier relatedIdentifierType="Handle" relationType="HasMetadata">10013/sensor.70c60519-19f9-4f14-bb88-d8377eac52d8</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="IsDocumentedBy">10.5194/amt-17-899-2024</relatedIdentifier></relatedIdentifiers><sizes><size>1844 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/4.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0">Creative Commons Attribution 4.0 International</rights></rightsList><descriptions><description descriptionType="Abstract">The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).</description></descriptions><geoLocations><geoLocation><geoLocationPoint><pointLongitude>11.92338</pointLongitude><pointLatitude>78.92266</pointLatitude></geoLocationPoint></geoLocation></geoLocations><fundingReferences><fundingReference><funderName>German Research Foundation</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100001659</funderIdentifier><awardNumber awardURI="https://gepris.dfg.de/gepris/projekt/268020496">268020496</awardNumber><awardTitle>TRR 172:  ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms</awardTitle></fundingReference></fundingReferences></resource>